[HTML][HTML] Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology
MA Farahani, MR McCormick, R Gianinny… - Journal of Manufacturing …, 2023 - Elsevier
Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …
Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
Manufacturing is transformed towards smart manufacturing, entering a new data-driven era
fueled by digital technologies. The resulting Smart Manufacturing Systems (SMS) gather …
fueled by digital technologies. The resulting Smart Manufacturing Systems (SMS) gather …
[HTML][HTML] Fatigue damage prediction of top tensioned riser subjected to vortex-induced vibrations using artificial neural networks
Several marine structures are subjected to critical loads resulting in their fatigue failure.
Among these structures, the riser is an essential component that transports the …
Among these structures, the riser is an essential component that transports the …
A new mooring failure detection approach based on hybrid LSTM-SVM model for semi-submersible platform
Y Mao, M Zheng, T Wang, M Duan - Ocean Engineering, 2023 - Elsevier
A reliable and stable mooring system is of vital significance to warrant the continuous
operation and personnel heath on offshore floating platforms. The failure detection …
operation and personnel heath on offshore floating platforms. The failure detection …
Deep gated recurrent unit networks for time-domain long-term fatigue analysis of mooring lines considering wave directionality
Y Xie, H Tang, YM Low - Ocean Engineering, 2023 - Elsevier
Mooring lines are a crucial component of offshore mooring systems, and long-term fatigue
damage assessment is a challenging task in mooring line design and structural health …
damage assessment is a challenging task in mooring line design and structural health …
Prediction of dynamic and structural responses of submerged floating tunnel using artificial neural network and minimum sensors
This paper presents a machine learning method to predict the dynamic and structural
behaviors of the submerged floating tunnel (SFT) based on an artificial neural network …
behaviors of the submerged floating tunnel (SFT) based on an artificial neural network …
Shape optimization of underwater glider for maximum gliding range with uncertainty factors considered
X Wu, P Yu, C Zhang, Q Wang, Z Zhu, T Wang - Ocean Engineering, 2023 - Elsevier
The hydrodynamic shape greatly influences the motion performance of underwater gliders.
This paper aims to optimize the shape of an underwater glider to maximize its gliding range …
This paper aims to optimize the shape of an underwater glider to maximize its gliding range …
Damage detection for tethers of submerged floating tunnels based on convolutional neural networks
A submerged floating tunnel, consisting of a tunnel and tethers, is effective as a sea-crossing
transportation infrastructure element in deep-water environments. Instead of fixed columns …
transportation infrastructure element in deep-water environments. Instead of fixed columns …
Physics-guided deep neural network for structural damage identification
Z Huang, X Yin, Y Liu - Ocean Engineering, 2022 - Elsevier
The physics-driven method via finite element model and the data-driven methods via
supervised learning is commonly used in the analysis of structural damage identification …
supervised learning is commonly used in the analysis of structural damage identification …